Maystern/SUSTech_CS324_DeepLearning_Ass1_MLP

SUSTech_CS324_DeepLearning_Ass1_MLP

Instructions for Executing the Code

To execute the code, follow the steps outlined below:

1. Create a Conda Environment: Begin by creating a new Conda environment named mlp with Python version 3.9. This can be accomplished by executing the following command in the terminal:

conda create -n mlp python=3.9

2. Activate the Environment: Once the environment is created, activate it using the command:

conda activate mlp

3. Install Required Packages: Install the necessary Python packages, namely numpy, matplotlib, and ipykernel, by running:

pip install numpy matplotlib ipykernel scikit-learn

4. Clone the Repository: Clone the GitHub repository containing the code to your local machine by executing:

git clone https://github.com/Maystern/SUSTech_CS324_DeepLearning_Ass1_MLP.git

5. Navigate to the Code Directory: Change the current directory to the code subdirectory within the cloned repository:

cd SUSTech_CS324_DeepLearning_Ass1_MLP/code

6. Run the Jupyter Notebook: Finally, execute the run.ipynb Jupyter Notebook to reproduce the experiments and results. This can be done by launching Jupyter Notebook or Jupyter Lab and opening the run.ipynb file.